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1,502
|
bike_share_1
|
bird:train.json:9042
|
Which trip id had the longest duration and the start station is in Redwood City?
|
SELECT T1.id FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T2.city = 'Redwood City' AND T1.duration = ( SELECT MAX(T1.duration) FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T2.city = 'Redwood City' )
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1,503
|
authors
|
bird:train.json:3657
|
List the name of the author that affiliated with University of Illinois Chicago?
|
SELECT Name FROM Author WHERE Affiliation = 'University of Illinois Chicago'
|
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"I-VALUE",
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1,504
|
college_completion
|
bird:train.json:3706
|
How many more students in total graduated from Central Alabama Community College in 2012 than in 2011?
|
SELECT SUM(CASE WHEN T2.year = 2012 THEN T2.grad_cohort ELSE 0 END) - SUM(CASE WHEN T2.year = 2011 THEN T2.grad_cohort ELSE 0 END) FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname = 'Central Alabama Community College'
|
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"value": "2011"
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"B-VALUE",
"O",
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1,505
|
talkingdata
|
bird:train.json:1190
|
What is the average age of the users who use model device of R7?
|
SELECT SUM(T1.age) / COUNT(T1.device_id) AS avg FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'R7'
|
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"O",
"O",
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"O",
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"O"
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1,506
|
works_cycles
|
bird:train.json:7459
|
How many of the work orders didn’t meet the due date?
|
SELECT COUNT(WorkOrderID) FROM WorkOrder WHERE EndDate > DueDate
|
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"value": "enddate"
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{
"id": 2,
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"value": "duedate"
}
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"O",
"O",
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] |
1,507
|
e_learning
|
spider:train_spider.json:3775
|
What is the address of each course author or tutor?
|
SELECT address_line_1 FROM Course_Authors_and_Tutors
|
[
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"?"
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[
{
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},
{
"id": 1,
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}
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[
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] |
1,508
|
cre_Docs_and_Epenses
|
spider:train_spider.json:6438
|
Give the details of the project with the document name 'King Book'.
|
SELECT T1.project_details FROM Projects AS T1 JOIN Documents AS T2 ON T1.project_id = T2.project_id WHERE T2.document_name = "King Book"
|
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] |
1,509
|
student_1
|
spider:train_spider.json:4064
|
Find the last names of all the teachers that teach GELL TAMI.
|
SELECT T2.lastname FROM list AS T1 JOIN teachers AS T2 ON T1.classroom = T2.classroom WHERE T1.firstname = "GELL" AND T1.lastname = "TAMI"
|
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"value": "firstname"
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{
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"value": "lastname"
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{
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"value": "teachers"
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"id": 5,
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"value": "GELL"
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{
"id": 6,
"type": "column",
"value": "TAMI"
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[
"O",
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"B-COLUMN",
"B-COLUMN",
"O"
] |
1,510
|
bike_1
|
spider:train_spider.json:124
|
For each zip code, what is the average mean temperature for all dates that start with '8'?
|
SELECT zip_code , avg(mean_temperature_f) FROM weather WHERE date LIKE "8/%" GROUP BY zip_code
|
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"with",
"'",
"8",
"'",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "mean_temperature_f"
},
{
"id": 1,
"type": "column",
"value": "zip_code"
},
{
"id": 0,
"type": "table",
"value": "weather"
},
{
"id": 2,
"type": "column",
"value": "date"
},
{
"id": 3,
"type": "column",
"value": "8/%"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": [
2,
3
]
},
{
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13
]
},
{
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},
{
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9,
10
]
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{
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{
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{
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},
{
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},
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},
{
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},
{
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"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
1,511
|
sales_in_weather
|
bird:train.json:8193
|
On February 8, 2014, what is the minimum temperature in the station where store 29 belongs?
|
SELECT tmin FROM relation AS T1 INNER JOIN weather AS T2 ON T1.station_nbr = T2.station_nbr WHERE T1.store_nbr = 29 AND T2.`date` = '2014-02-08'
|
[
"On",
"February",
"8",
",",
"2014",
",",
"what",
"is",
"the",
"minimum",
"temperature",
"in",
"the",
"station",
"where",
"store",
"29",
"belongs",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "station_nbr"
},
{
"id": 7,
"type": "value",
"value": "2014-02-08"
},
{
"id": 4,
"type": "column",
"value": "store_nbr"
},
{
"id": 1,
"type": "table",
"value": "relation"
},
{
"id": 2,
"type": "table",
"value": "weather"
},
{
"id": 0,
"type": "column",
"value": "tmin"
},
{
"id": 6,
"type": "column",
"value": "date"
},
{
"id": 5,
"type": "value",
"value": "29"
}
] |
[
{
"entity_id": 0,
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11
]
},
{
"entity_id": 1,
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13
]
},
{
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14
]
},
{
"entity_id": 3,
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},
{
"entity_id": 4,
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15
]
},
{
"entity_id": 5,
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16
]
},
{
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},
{
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},
{
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},
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{
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},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
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},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"B-TABLE",
"B-COLUMN",
"B-VALUE",
"O",
"O"
] |
1,513
|
insurance_policies
|
spider:train_spider.json:3878
|
What is the most popular payment method?
|
SELECT Payment_Method_Code FROM Payments GROUP BY Payment_Method_Code ORDER BY count(*) DESC LIMIT 1
|
[
"What",
"is",
"the",
"most",
"popular",
"payment",
"method",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "payment_method_code"
},
{
"id": 0,
"type": "table",
"value": "payments"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
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},
{
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"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
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},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O"
] |
1,514
|
address_1
|
bird:test.json:839
|
Which state does the student whose first name is Linda live in?
|
SELECT state FROM Student AS T1 JOIN City AS T2 ON T1.city_code = T2.city_code WHERE T1.Fname = "Linda"
|
[
"Which",
"state",
"does",
"the",
"student",
"whose",
"first",
"name",
"is",
"Linda",
"live",
"in",
"?"
] |
[
{
"id": 5,
"type": "column",
"value": "city_code"
},
{
"id": 1,
"type": "table",
"value": "student"
},
{
"id": 0,
"type": "column",
"value": "state"
},
{
"id": 3,
"type": "column",
"value": "fname"
},
{
"id": 4,
"type": "column",
"value": "Linda"
},
{
"id": 2,
"type": "table",
"value": "city"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1
]
},
{
"entity_id": 1,
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4
]
},
{
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},
{
"entity_id": 3,
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7
]
},
{
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9
]
},
{
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},
{
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},
{
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},
{
"entity_id": 8,
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},
{
"entity_id": 9,
"token_idxs": []
},
{
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"token_idxs": []
},
{
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"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O"
] |
1,515
|
bakery_1
|
bird:test.json:1507
|
Give me a list of all the distinct items bought by the customer number 15.
|
SELECT DISTINCT T1.item FROM items AS T1 JOIN receipts AS T2 ON T1.receipt = T2.ReceiptNumber WHERE T2.CustomerId = 15
|
[
"Give",
"me",
"a",
"list",
"of",
"all",
"the",
"distinct",
"items",
"bought",
"by",
"the",
"customer",
"number",
"15",
"."
] |
[
{
"id": 6,
"type": "column",
"value": "receiptnumber"
},
{
"id": 3,
"type": "column",
"value": "customerid"
},
{
"id": 2,
"type": "table",
"value": "receipts"
},
{
"id": 5,
"type": "column",
"value": "receipt"
},
{
"id": 1,
"type": "table",
"value": "items"
},
{
"id": 0,
"type": "column",
"value": "item"
},
{
"id": 4,
"type": "value",
"value": "15"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
8
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
12
]
},
{
"entity_id": 4,
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14
]
},
{
"entity_id": 5,
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},
{
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13
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},
{
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},
{
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},
{
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},
{
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},
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},
{
"entity_id": 12,
"token_idxs": []
},
{
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"token_idxs": []
},
{
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"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"B-VALUE",
"O"
] |
1,516
|
retail_world
|
bird:train.json:6490
|
What is the stock value of every condiments?
|
SELECT T1.UnitPrice * T1.UnitsInStock FROM Products AS T1 INNER JOIN Categories AS T2 ON T1.CategoryID = T2.CategoryID
|
[
"What",
"is",
"the",
"stock",
"value",
"of",
"every",
"condiments",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "unitsinstock"
},
{
"id": 1,
"type": "table",
"value": "categories"
},
{
"id": 4,
"type": "column",
"value": "categoryid"
},
{
"id": 2,
"type": "column",
"value": "unitprice"
},
{
"id": 0,
"type": "table",
"value": "products"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
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},
{
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},
{
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{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O"
] |
1,517
|
retails
|
bird:train.json:6810
|
Please list any two parts that come with the wrap bag container and have a supply cost of under 10.
|
SELECT T1.p_name FROM part AS T1 INNER JOIN partsupp AS T2 ON T1.p_partkey = T2.ps_partkey WHERE T2.ps_supplycost < 10 AND T1.p_container = 'WRAP BAG' LIMIT 2
|
[
"Please",
"list",
"any",
"two",
"parts",
"that",
"come",
"with",
"the",
"wrap",
"bag",
"container",
"and",
"have",
"a",
"supply",
"cost",
"of",
"under",
"10",
"."
] |
[
{
"id": 5,
"type": "column",
"value": "ps_supplycost"
},
{
"id": 7,
"type": "column",
"value": "p_container"
},
{
"id": 4,
"type": "column",
"value": "ps_partkey"
},
{
"id": 3,
"type": "column",
"value": "p_partkey"
},
{
"id": 2,
"type": "table",
"value": "partsupp"
},
{
"id": 8,
"type": "value",
"value": "WRAP BAG"
},
{
"id": 0,
"type": "column",
"value": "p_name"
},
{
"id": 1,
"type": "table",
"value": "part"
},
{
"id": 6,
"type": "value",
"value": "10"
}
] |
[
{
"entity_id": 0,
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},
{
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4
]
},
{
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{
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{
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},
{
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},
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9,
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},
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{
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},
{
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"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-VALUE",
"O"
] |
1,518
|
formula_1
|
bird:dev.json:965
|
List out the Id number of races which were hold in 2009.
|
SELECT raceId FROM races WHERE year = 2009
|
[
"List",
"out",
"the",
"I",
"d",
"number",
"of",
"races",
"which",
"were",
"hold",
"in",
"2009",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "raceid"
},
{
"id": 0,
"type": "table",
"value": "races"
},
{
"id": 2,
"type": "column",
"value": "year"
},
{
"id": 3,
"type": "value",
"value": "2009"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
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},
{
"entity_id": 2,
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},
{
"entity_id": 3,
"token_idxs": [
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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},
{
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"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
1,520
|
formula_1
|
bird:dev.json:960
|
What is the average of fastest lap speed in the 2009 Spanish Grand Prix race?
|
SELECT AVG(T1.fastestLapSpeed) FROM results AS T1 INNER JOIN races AS T2 on T1.raceId = T2.raceId WHERE T2.year = 2009 AND T2.name = 'Spanish Grand Prix'
|
[
"What",
"is",
"the",
"average",
"of",
"fastest",
"lap",
"speed",
"in",
"the",
"2009",
"Spanish",
"Grand",
"Prix",
"race",
"?"
] |
[
{
"id": 7,
"type": "value",
"value": "Spanish Grand Prix"
},
{
"id": 2,
"type": "column",
"value": "fastestlapspeed"
},
{
"id": 0,
"type": "table",
"value": "results"
},
{
"id": 3,
"type": "column",
"value": "raceid"
},
{
"id": 1,
"type": "table",
"value": "races"
},
{
"id": 4,
"type": "column",
"value": "year"
},
{
"id": 5,
"type": "value",
"value": "2009"
},
{
"id": 6,
"type": "column",
"value": "name"
}
] |
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{
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},
{
"entity_id": 1,
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14
]
},
{
"entity_id": 2,
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5,
6,
7
]
},
{
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},
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},
{
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},
{
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},
{
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11,
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]
},
{
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},
{
"entity_id": 9,
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},
{
"entity_id": 10,
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},
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"entity_id": 11,
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},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
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},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"B-VALUE",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"B-TABLE",
"O"
] |
1,521
|
superhero
|
bird:dev.json:831
|
What is Abomination's eye colour?
|
SELECT T2.colour FROM superhero AS T1 INNER JOIN colour AS T2 ON T1.eye_colour_id = T2.id WHERE T1.superhero_name = 'Abomination'
|
[
"What",
"is",
"Abomination",
"'s",
"eye",
"colour",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "superhero_name"
},
{
"id": 5,
"type": "column",
"value": "eye_colour_id"
},
{
"id": 4,
"type": "value",
"value": "Abomination"
},
{
"id": 1,
"type": "table",
"value": "superhero"
},
{
"id": 0,
"type": "column",
"value": "colour"
},
{
"id": 2,
"type": "table",
"value": "colour"
},
{
"id": 6,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
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2
]
},
{
"entity_id": 5,
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4
]
},
{
"entity_id": 6,
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},
{
"entity_id": 7,
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},
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"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-VALUE",
"O",
"B-COLUMN",
"B-TABLE",
"O"
] |
1,522
|
farm
|
spider:train_spider.json:20
|
What are the hosts of competitions whose theme is not "Aliens"?
|
SELECT Hosts FROM farm_competition WHERE Theme != 'Aliens'
|
[
"What",
"are",
"the",
"hosts",
"of",
"competitions",
"whose",
"theme",
"is",
"not",
"\"",
"Aliens",
"\"",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "farm_competition"
},
{
"id": 3,
"type": "value",
"value": "Aliens"
},
{
"id": 1,
"type": "column",
"value": "hosts"
},
{
"id": 2,
"type": "column",
"value": "theme"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
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7
]
},
{
"entity_id": 3,
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11
]
},
{
"entity_id": 4,
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},
{
"entity_id": 5,
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},
{
"entity_id": 6,
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},
{
"entity_id": 7,
"token_idxs": []
},
{
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},
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},
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},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O",
"O"
] |
1,523
|
toxicology
|
bird:dev.json:243
|
What are the bonds that have phosphorus and nitrogen as their atom elements?
|
SELECT T2.bond_id FROM atom AS T1 INNER JOIN connected AS T2 ON T1.atom_id = T2.atom_id WHERE T2.bond_id IN ( SELECT T3.bond_id FROM connected AS T3 INNER JOIN atom AS T4 ON T3.atom_id = T4.atom_id WHERE T4.element = 'p' ) AND T1.element = 'n'
|
[
"What",
"are",
"the",
"bonds",
"that",
"have",
"phosphorus",
"and",
"nitrogen",
"as",
"their",
"atom",
"elements",
"?"
] |
[
{
"id": 2,
"type": "table",
"value": "connected"
},
{
"id": 0,
"type": "column",
"value": "bond_id"
},
{
"id": 3,
"type": "column",
"value": "atom_id"
},
{
"id": 4,
"type": "column",
"value": "element"
},
{
"id": 1,
"type": "table",
"value": "atom"
},
{
"id": 5,
"type": "value",
"value": "n"
},
{
"id": 6,
"type": "value",
"value": "p"
}
] |
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{
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3
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},
{
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11
]
},
{
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},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
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},
{
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},
{
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{
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},
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},
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},
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},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O"
] |
1,524
|
coinmarketcap
|
bird:train.json:6281
|
List the names of coins that cannot be traded in 2014.
|
SELECT name FROM coins WHERE date_added LIKE '2014%' AND status = 'untracked'
|
[
"List",
"the",
"names",
"of",
"coins",
"that",
"can",
"not",
"be",
"traded",
"in",
"2014",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "date_added"
},
{
"id": 5,
"type": "value",
"value": "untracked"
},
{
"id": 4,
"type": "column",
"value": "status"
},
{
"id": 0,
"type": "table",
"value": "coins"
},
{
"id": 3,
"type": "value",
"value": "2014%"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] |
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{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
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},
{
"entity_id": 3,
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11
]
},
{
"entity_id": 4,
"token_idxs": [
5
]
},
{
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},
{
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"token_idxs": []
},
{
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"token_idxs": []
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"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-VALUE",
"O"
] |
1,525
|
college_2
|
spider:train_spider.json:1467
|
What are the names of the instructors in the Comp. Sci. department who earn more than 80000?
|
SELECT name FROM instructor WHERE dept_name = 'Comp. Sci.' AND salary > 80000
|
[
"What",
"are",
"the",
"names",
"of",
"the",
"instructors",
"in",
"the",
"Comp",
".",
"Sci",
".",
"department",
"who",
"earn",
"more",
"than",
"80000",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "instructor"
},
{
"id": 3,
"type": "value",
"value": "Comp. Sci."
},
{
"id": 2,
"type": "column",
"value": "dept_name"
},
{
"id": 4,
"type": "column",
"value": "salary"
},
{
"id": 5,
"type": "value",
"value": "80000"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] |
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{
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"token_idxs": [
6
]
},
{
"entity_id": 1,
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3
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},
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13
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{
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9,
10,
11,
12
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{
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18
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{
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"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
1,526
|
california_schools
|
bird:dev.json:81
|
In which city can you find the school in the state of California with the lowest latitude coordinates and what is its lowest grade? Indicate the school name.
|
SELECT T2.City, T1.`Low Grade`, T1.`School Name` FROM frpm AS T1 INNER JOIN schools AS T2 ON T1.CDSCode = T2.CDSCode WHERE T2.State = 'CA' ORDER BY T2.Latitude ASC LIMIT 1
|
[
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"find",
"the",
"school",
"in",
"the",
"state",
"of",
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"latitude",
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"and",
"what",
"is",
"its",
"lowest",
"grade",
"?",
"Indicate",
"the",
"school",
"name",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "School Name"
},
{
"id": 1,
"type": "column",
"value": "Low Grade"
},
{
"id": 7,
"type": "column",
"value": "latitude"
},
{
"id": 4,
"type": "table",
"value": "schools"
},
{
"id": 8,
"type": "column",
"value": "cdscode"
},
{
"id": 5,
"type": "column",
"value": "state"
},
{
"id": 0,
"type": "column",
"value": "city"
},
{
"id": 3,
"type": "table",
"value": "frpm"
},
{
"id": 6,
"type": "value",
"value": "CA"
}
] |
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{
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2
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22,
23
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27,
28
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},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"B-VALUE",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
1,527
|
airline
|
bird:train.json:5864
|
What are the names of the top 5 airlines with the highest number of aircraft?
|
SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code GROUP BY T2.Description ORDER BY T1.TAIL_NUM DESC LIMIT 5
|
[
"What",
"are",
"the",
"names",
"of",
"the",
"top",
"5",
"airlines",
"with",
"the",
"highest",
"number",
"of",
"aircraft",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "op_carrier_airline_id"
},
{
"id": 2,
"type": "table",
"value": "Air Carriers"
},
{
"id": 0,
"type": "column",
"value": "description"
},
{
"id": 1,
"type": "table",
"value": "airlines"
},
{
"id": 3,
"type": "column",
"value": "tail_num"
},
{
"id": 5,
"type": "column",
"value": "code"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
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8
]
},
{
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{
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{
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{
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"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
1,529
|
hockey
|
bird:train.json:7816
|
Who is the shortest player and state the team ID of that player from 1925 to 1936.
|
SELECT T2.playerID, T2.tmID FROM ( SELECT playerID FROM Master WHERE height IS NOT NULL ORDER BY height ASC LIMIT 1 ) AS T1 INNER JOIN ( SELECT DISTINCT playerID, tmID FROM Scoring WHERE year BETWEEN 1925 AND 1936 ) AS T2 ON T1.playerID = T2.playerID
|
[
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"shortest",
"player",
"and",
"state",
"the",
"team",
"ID",
"of",
"that",
"player",
"from",
"1925",
"to",
"1936",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "playerid"
},
{
"id": 3,
"type": "table",
"value": "scoring"
},
{
"id": 2,
"type": "table",
"value": "master"
},
{
"id": 4,
"type": "column",
"value": "height"
},
{
"id": 1,
"type": "column",
"value": "tmid"
},
{
"id": 5,
"type": "column",
"value": "year"
},
{
"id": 6,
"type": "value",
"value": "1925"
},
{
"id": 7,
"type": "value",
"value": "1936"
}
] |
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9
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4
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14
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},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O",
"B-VALUE",
"O"
] |
1,531
|
race_track
|
spider:train_spider.json:747
|
How many tracks do we have?
|
SELECT count(*) FROM track
|
[
"How",
"many",
"tracks",
"do",
"we",
"have",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "track"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O"
] |
1,532
|
movie_3
|
bird:train.json:9252
|
What is the difference in the average number of films rented each day in Australia and Canada?
|
SELECT AVG(IIF(T4.country = 'Australia', 1, 0)) - AVG(IIF(T4.country = 'Canada', 1, 0)) AS diff FROM customer AS T1 INNER JOIN address AS T2 ON T1.address_id = T2.address_id INNER JOIN city AS T3 ON T2.city_id = T3.city_id INNER JOIN country AS T4 ON T3.country_id = T4.country_id
|
[
"What",
"is",
"the",
"difference",
"in",
"the",
"average",
"number",
"of",
"films",
"rented",
"each",
"day",
"in",
"Australia",
"and",
"Canada",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "country_id"
},
{
"id": 8,
"type": "column",
"value": "address_id"
},
{
"id": 10,
"type": "value",
"value": "Australia"
},
{
"id": 3,
"type": "table",
"value": "customer"
},
{
"id": 0,
"type": "table",
"value": "country"
},
{
"id": 4,
"type": "table",
"value": "address"
},
{
"id": 5,
"type": "column",
"value": "city_id"
},
{
"id": 9,
"type": "column",
"value": "country"
},
{
"id": 11,
"type": "value",
"value": "Canada"
},
{
"id": 1,
"type": "table",
"value": "city"
},
{
"id": 6,
"type": "value",
"value": "1"
},
{
"id": 7,
"type": "value",
"value": "0"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": [
14
]
},
{
"entity_id": 11,
"token_idxs": [
16
]
},
{
"entity_id": 12,
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},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-VALUE",
"O"
] |
1,533
|
shooting
|
bird:train.json:2478
|
In how many cases where the subject was a female was the subject's status listed as Deceased?
|
SELECT COUNT(T1.case_number) FROM incidents AS T1 INNER JOIN subjects AS T2 ON T1.case_number = T2.case_number WHERE T2.gender = 'F' AND T1.subject_statuses = 'Deceased'
|
[
"In",
"how",
"many",
"cases",
"where",
"the",
"subject",
"was",
"a",
"female",
"was",
"the",
"subject",
"'s",
"status",
"listed",
"as",
"Deceased",
"?"
] |
[
{
"id": 5,
"type": "column",
"value": "subject_statuses"
},
{
"id": 2,
"type": "column",
"value": "case_number"
},
{
"id": 0,
"type": "table",
"value": "incidents"
},
{
"id": 1,
"type": "table",
"value": "subjects"
},
{
"id": 6,
"type": "value",
"value": "Deceased"
},
{
"id": 3,
"type": "column",
"value": "gender"
},
{
"id": 4,
"type": "value",
"value": "F"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
12,
13
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
14
]
},
{
"entity_id": 6,
"token_idxs": [
17
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O"
] |
1,534
|
flight_4
|
spider:train_spider.json:6847
|
How many airports are there per country? Order the countries by decreasing number of airports.
|
SELECT count(*) , country FROM airports GROUP BY country ORDER BY count(*) DESC
|
[
"How",
"many",
"airports",
"are",
"there",
"per",
"country",
"?",
"Order",
"the",
"countries",
"by",
"decreasing",
"number",
"of",
"airports",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "airports"
},
{
"id": 1,
"type": "column",
"value": "country"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
15
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
1,536
|
institution_sports
|
bird:test.json:1660
|
Return the nickname of the institution with the lowest enrollment.
|
SELECT T1.Nickname FROM championship AS T1 JOIN institution AS T2 ON T1.Institution_ID = T2.Institution_ID ORDER BY T2.Enrollment ASC LIMIT 1
|
[
"Return",
"the",
"nickname",
"of",
"the",
"institution",
"with",
"the",
"lowest",
"enrollment",
"."
] |
[
{
"id": 4,
"type": "column",
"value": "institution_id"
},
{
"id": 1,
"type": "table",
"value": "championship"
},
{
"id": 2,
"type": "table",
"value": "institution"
},
{
"id": 3,
"type": "column",
"value": "enrollment"
},
{
"id": 0,
"type": "column",
"value": "nickname"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": [
9
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
1,537
|
behavior_monitoring
|
spider:train_spider.json:3103
|
Find all information about student addresses, and sort by monthly rental in descending order.
|
SELECT * FROM Student_Addresses ORDER BY monthly_rental DESC
|
[
"Find",
"all",
"information",
"about",
"student",
"addresses",
",",
"and",
"sort",
"by",
"monthly",
"rental",
"in",
"descending",
"order",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "student_addresses"
},
{
"id": 1,
"type": "column",
"value": "monthly_rental"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4,
5
]
},
{
"entity_id": 1,
"token_idxs": [
10,
11
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O"
] |
1,538
|
flight_4
|
spider:train_spider.json:6872
|
What is the number of routes operated by the airline American Airlines whose destinations are in Italy?
|
SELECT count(*) FROM routes AS T1 JOIN airports AS T2 ON T1.dst_apid = T2.apid JOIN airlines AS T3 ON T1.alid = T3.alid WHERE T2.country = 'Italy' AND T3.name = 'American Airlines'
|
[
"What",
"is",
"the",
"number",
"of",
"routes",
"operated",
"by",
"the",
"airline",
"American",
"Airlines",
"whose",
"destinations",
"are",
"in",
"Italy",
"?"
] |
[
{
"id": 7,
"type": "value",
"value": "American Airlines"
},
{
"id": 0,
"type": "table",
"value": "airlines"
},
{
"id": 2,
"type": "table",
"value": "airports"
},
{
"id": 8,
"type": "column",
"value": "dst_apid"
},
{
"id": 4,
"type": "column",
"value": "country"
},
{
"id": 1,
"type": "table",
"value": "routes"
},
{
"id": 5,
"type": "value",
"value": "Italy"
},
{
"id": 3,
"type": "column",
"value": "alid"
},
{
"id": 6,
"type": "column",
"value": "name"
},
{
"id": 9,
"type": "column",
"value": "apid"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
11
]
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
16
]
},
{
"entity_id": 6,
"token_idxs": [
3
]
},
{
"entity_id": 7,
"token_idxs": [
10
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-VALUE",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
1,539
|
vehicle_rent
|
bird:test.json:404
|
What are the types of powertrains that have vehicles that were made in both 2013 and 2014?
|
SELECT type_of_powertrain FROM vehicles WHERE model_year = 2014 INTERSECT SELECT type_of_powertrain FROM vehicles WHERE model_year = 2013
|
[
"What",
"are",
"the",
"types",
"of",
"powertrains",
"that",
"have",
"vehicles",
"that",
"were",
"made",
"in",
"both",
"2013",
"and",
"2014",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "type_of_powertrain"
},
{
"id": 2,
"type": "column",
"value": "model_year"
},
{
"id": 0,
"type": "table",
"value": "vehicles"
},
{
"id": 3,
"type": "value",
"value": "2014"
},
{
"id": 4,
"type": "value",
"value": "2013"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
8
]
},
{
"entity_id": 1,
"token_idxs": [
3,
4,
5
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
16
]
},
{
"entity_id": 4,
"token_idxs": [
14
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-VALUE",
"O"
] |
1,540
|
soccer_2016
|
bird:train.json:1808
|
Give the name of venue for the game with a win margin of 138 points.
|
SELECT T2.Venue_Name FROM `Match` AS T1 INNER JOIN Venue AS T2 ON T1.Venue_Id = T2.Venue_Id WHERE T1.Win_Margin = 138
|
[
"Give",
"the",
"name",
"of",
"venue",
"for",
"the",
"game",
"with",
"a",
"win",
"margin",
"of",
"138",
"points",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "venue_name"
},
{
"id": 3,
"type": "column",
"value": "win_margin"
},
{
"id": 5,
"type": "column",
"value": "venue_id"
},
{
"id": 1,
"type": "table",
"value": "Match"
},
{
"id": 2,
"type": "table",
"value": "venue"
},
{
"id": 4,
"type": "value",
"value": "138"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
4
]
},
{
"entity_id": 3,
"token_idxs": [
10,
11
]
},
{
"entity_id": 4,
"token_idxs": [
13
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"O",
"O"
] |
1,541
|
student_club
|
bird:dev.json:1431
|
List the last name of the members of the club that attended the women's soccer event.
|
SELECT T3.last_name FROM attendance AS T1 INNER JOIN event AS T2 ON T2.event_id = T1.link_to_event INNER JOIN member AS T3 ON T1.link_to_member = T3.member_id WHERE T2.event_name = 'Women''s Soccer' AND T3.position = 'Member'
|
[
"List",
"the",
"last",
"name",
"of",
"the",
"members",
"of",
"the",
"club",
"that",
"attended",
"the",
"women",
"'s",
"soccer",
"event",
"."
] |
[
{
"id": 4,
"type": "column",
"value": "link_to_member"
},
{
"id": 7,
"type": "value",
"value": "Women's Soccer"
},
{
"id": 11,
"type": "column",
"value": "link_to_event"
},
{
"id": 2,
"type": "table",
"value": "attendance"
},
{
"id": 6,
"type": "column",
"value": "event_name"
},
{
"id": 0,
"type": "column",
"value": "last_name"
},
{
"id": 5,
"type": "column",
"value": "member_id"
},
{
"id": 8,
"type": "column",
"value": "position"
},
{
"id": 10,
"type": "column",
"value": "event_id"
},
{
"id": 1,
"type": "table",
"value": "member"
},
{
"id": 9,
"type": "value",
"value": "Member"
},
{
"id": 3,
"type": "table",
"value": "event"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2,
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
11
]
},
{
"entity_id": 3,
"token_idxs": [
16
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
13,
14,
15
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": [
6
]
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"B-TABLE",
"O"
] |
1,542
|
planet_1
|
bird:test.json:1866
|
What is the clearance level of a physician?
|
SELECT T1.Level FROM Has_Clearance AS T1 JOIN Employee AS T2 ON T1.Employee = T2.EmployeeID WHERE T2.position = "Physician";
|
[
"What",
"is",
"the",
"clearance",
"level",
"of",
"a",
"physician",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "has_clearance"
},
{
"id": 6,
"type": "column",
"value": "employeeid"
},
{
"id": 4,
"type": "column",
"value": "Physician"
},
{
"id": 2,
"type": "table",
"value": "employee"
},
{
"id": 3,
"type": "column",
"value": "position"
},
{
"id": 5,
"type": "column",
"value": "employee"
},
{
"id": 0,
"type": "column",
"value": "level"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"O"
] |
1,543
|
works_cycles
|
bird:train.json:7070
|
Among the active employees, how many of them have a courtesy title of "Mr"?
|
SELECT COUNT(T1.BusinessEntityID) FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.CurrentFlag = 1 AND T2.Title = 'Mr.'
|
[
"Among",
"the",
"active",
"employees",
",",
"how",
"many",
"of",
"them",
"have",
"a",
"courtesy",
"title",
"of",
"\"",
"Mr",
"\"",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "businessentityid"
},
{
"id": 3,
"type": "column",
"value": "currentflag"
},
{
"id": 0,
"type": "table",
"value": "employee"
},
{
"id": 1,
"type": "table",
"value": "person"
},
{
"id": 5,
"type": "column",
"value": "title"
},
{
"id": 6,
"type": "value",
"value": "Mr."
},
{
"id": 4,
"type": "value",
"value": "1"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
12
]
},
{
"entity_id": 6,
"token_idxs": [
15
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O",
"O"
] |
1,544
|
retail_complains
|
bird:train.json:263
|
How many days delay for the complaint call from Mr. Brantley Julian Stanley on 2012/5/18?
|
SELECT 365 * (strftime('%Y', T2.`Date sent to company`) - strftime('%Y', T2.`Date received`)) + 30 * (strftime('%M', T2.`Date sent to company`) - strftime('%M', T2.`Date received`)) + (strftime('%d', T2.`Date sent to company`) - strftime('%d', T2.`Date received`)) AS days FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2012-05-18' AND T1.sex = 'Male' AND T1.first = 'Brantley' AND T1.middle = 'Julian' AND T1.last = 'Stanley'
|
[
"How",
"many",
"days",
"delay",
"for",
"the",
"complaint",
"call",
"from",
"Mr.",
"Brantley",
"Julian",
"Stanley",
"on",
"2012/5/18",
"?"
] |
[
{
"id": 16,
"type": "column",
"value": "Date sent to company"
},
{
"id": 3,
"type": "column",
"value": "Date received"
},
{
"id": 4,
"type": "value",
"value": "2012-05-18"
},
{
"id": 2,
"type": "column",
"value": "client_id"
},
{
"id": 8,
"type": "value",
"value": "Brantley"
},
{
"id": 12,
"type": "value",
"value": "Stanley"
},
{
"id": 0,
"type": "table",
"value": "client"
},
{
"id": 1,
"type": "table",
"value": "events"
},
{
"id": 9,
"type": "column",
"value": "middle"
},
{
"id": 10,
"type": "value",
"value": "Julian"
},
{
"id": 7,
"type": "column",
"value": "first"
},
{
"id": 6,
"type": "value",
"value": "Male"
},
{
"id": 11,
"type": "column",
"value": "last"
},
{
"id": 5,
"type": "column",
"value": "sex"
},
{
"id": 13,
"type": "value",
"value": "365"
},
{
"id": 14,
"type": "value",
"value": "30"
},
{
"id": 15,
"type": "value",
"value": "%d"
},
{
"id": 17,
"type": "value",
"value": "%Y"
},
{
"id": 18,
"type": "value",
"value": "%M"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
14
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
10
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": [
11
]
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": [
12
]
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"B-VALUE",
"B-VALUE",
"O",
"B-VALUE",
"O"
] |
1,546
|
real_estate_rentals
|
bird:test.json:1412
|
What is the first name of the user who owns the greatest number of properties?
|
SELECT T1.first_name FROM Users AS T1 JOIN Properties AS T2 ON T2.owner_user_id = T1.User_id GROUP BY T1.User_id ORDER BY count(*) DESC LIMIT 1;
|
[
"What",
"is",
"the",
"first",
"name",
"of",
"the",
"user",
"who",
"owns",
"the",
"greatest",
"number",
"of",
"properties",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "owner_user_id"
},
{
"id": 1,
"type": "column",
"value": "first_name"
},
{
"id": 3,
"type": "table",
"value": "properties"
},
{
"id": 0,
"type": "column",
"value": "user_id"
},
{
"id": 2,
"type": "table",
"value": "users"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
3,
4
]
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": [
14
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
1,547
|
college_2
|
spider:train_spider.json:1435
|
What are the names of all instructors who advise students in the math depart sorted by total credits of the student.
|
SELECT T2.name FROM advisor AS T1 JOIN instructor AS T2 ON T1.i_id = T2.id JOIN student AS T3 ON T1.s_id = T3.id WHERE T3.dept_name = 'Math' ORDER BY T3.tot_cred
|
[
"What",
"are",
"the",
"names",
"of",
"all",
"instructors",
"who",
"advise",
"students",
"in",
"the",
"math",
"depart",
"sorted",
"by",
"total",
"credits",
"of",
"the",
"student",
"."
] |
[
{
"id": 6,
"type": "table",
"value": "instructor"
},
{
"id": 2,
"type": "column",
"value": "dept_name"
},
{
"id": 4,
"type": "column",
"value": "tot_cred"
},
{
"id": 1,
"type": "table",
"value": "student"
},
{
"id": 5,
"type": "table",
"value": "advisor"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 3,
"type": "value",
"value": "Math"
},
{
"id": 7,
"type": "column",
"value": "s_id"
},
{
"id": 9,
"type": "column",
"value": "i_id"
},
{
"id": 8,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
20
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
12
]
},
{
"entity_id": 4,
"token_idxs": [
16,
17
]
},
{
"entity_id": 5,
"token_idxs": [
8
]
},
{
"entity_id": 6,
"token_idxs": [
6
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"O"
] |
1,548
|
customers_card_transactions
|
spider:train_spider.json:694
|
What are the ids, full names, and phones of each customer?
|
SELECT customer_id , customer_first_name , customer_last_name , customer_phone FROM Customers
|
[
"What",
"are",
"the",
"ids",
",",
"full",
"names",
",",
"and",
"phones",
"of",
"each",
"customer",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "customer_first_name"
},
{
"id": 3,
"type": "column",
"value": "customer_last_name"
},
{
"id": 4,
"type": "column",
"value": "customer_phone"
},
{
"id": 1,
"type": "column",
"value": "customer_id"
},
{
"id": 0,
"type": "table",
"value": "customers"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
12
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
1,549
|
college_3
|
spider:train_spider.json:4654
|
What are the full names of faculties with sex M and who live in building NEB?
|
SELECT Fname , Lname FROM FACULTY WHERE sex = "M" AND Building = "NEB"
|
[
"What",
"are",
"the",
"full",
"names",
"of",
"faculties",
"with",
"sex",
"M",
"and",
"who",
"live",
"in",
"building",
"NEB",
"?"
] |
[
{
"id": 5,
"type": "column",
"value": "building"
},
{
"id": 0,
"type": "table",
"value": "faculty"
},
{
"id": 1,
"type": "column",
"value": "fname"
},
{
"id": 2,
"type": "column",
"value": "lname"
},
{
"id": 3,
"type": "column",
"value": "sex"
},
{
"id": 6,
"type": "column",
"value": "NEB"
},
{
"id": 4,
"type": "column",
"value": "M"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
4
]
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": [
9
]
},
{
"entity_id": 5,
"token_idxs": [
14
]
},
{
"entity_id": 6,
"token_idxs": [
15
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"O"
] |
1,550
|
storm_record
|
spider:train_spider.json:2714
|
List the name for storms and the number of affected regions for each storm.
|
SELECT T1.name , count(*) FROM storm AS T1 JOIN affected_region AS T2 ON T1.storm_id = T2.storm_id GROUP BY T1.storm_id
|
[
"List",
"the",
"name",
"for",
"storms",
"and",
"the",
"number",
"of",
"affected",
"regions",
"for",
"each",
"storm",
"."
] |
[
{
"id": 3,
"type": "table",
"value": "affected_region"
},
{
"id": 0,
"type": "column",
"value": "storm_id"
},
{
"id": 2,
"type": "table",
"value": "storm"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
13
]
},
{
"entity_id": 3,
"token_idxs": [
9,
10
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"O",
"O",
"B-TABLE",
"O"
] |
1,551
|
car_retails
|
bird:train.json:1571
|
List out full name of employees who are working in Tokyo?
|
SELECT T1.firstName, T1.lastName FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T2.city = 'Tokyo'
|
[
"List",
"out",
"full",
"name",
"of",
"employees",
"who",
"are",
"working",
"in",
"Tokyo",
"?"
] |
[
{
"id": 6,
"type": "column",
"value": "officecode"
},
{
"id": 0,
"type": "column",
"value": "firstname"
},
{
"id": 2,
"type": "table",
"value": "employees"
},
{
"id": 1,
"type": "column",
"value": "lastname"
},
{
"id": 3,
"type": "table",
"value": "offices"
},
{
"id": 5,
"type": "value",
"value": "Tokyo"
},
{
"id": 4,
"type": "column",
"value": "city"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
10
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
1,552
|
college_2
|
spider:train_spider.json:1363
|
What is the title of a course that is listed in both the Statistics and Psychology departments?
|
SELECT title FROM course WHERE dept_name = 'Statistics' INTERSECT SELECT title FROM course WHERE dept_name = 'Psychology'
|
[
"What",
"is",
"the",
"title",
"of",
"a",
"course",
"that",
"is",
"listed",
"in",
"both",
"the",
"Statistics",
"and",
"Psychology",
"departments",
"?"
] |
[
{
"id": 3,
"type": "value",
"value": "Statistics"
},
{
"id": 4,
"type": "value",
"value": "Psychology"
},
{
"id": 2,
"type": "column",
"value": "dept_name"
},
{
"id": 0,
"type": "table",
"value": "course"
},
{
"id": 1,
"type": "column",
"value": "title"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": [
16
]
},
{
"entity_id": 3,
"token_idxs": [
13
]
},
{
"entity_id": 4,
"token_idxs": [
15
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-VALUE",
"B-COLUMN",
"O"
] |
1,553
|
local_govt_mdm
|
spider:train_spider.json:2651
|
What are the renting arrears tax ids related to the customer master index whose detail is not 'Schmidt, Kertzmann and Lubowitz'?
|
SELECT T1.council_tax_id FROM Rent_Arrears AS T1 JOIN CMI_Cross_References AS T2 ON T1.cmi_cross_ref_id = T2.cmi_cross_ref_id JOIN Customer_Master_Index AS T3 ON T3.master_customer_id = T2.master_customer_id WHERE T3.cmi_details != 'Schmidt , Kertzmann and Lubowitz'
|
[
"What",
"are",
"the",
"renting",
"arrears",
"tax",
"ids",
"related",
"to",
"the",
"customer",
"master",
"index",
"whose",
"detail",
"is",
"not",
"'",
"Schmidt",
",",
"Kertzmann",
"and",
"Lubowitz",
"'",
"?"
] |
[
{
"id": 3,
"type": "value",
"value": "Schmidt , Kertzmann and Lubowitz"
},
{
"id": 1,
"type": "table",
"value": "customer_master_index"
},
{
"id": 5,
"type": "table",
"value": "cmi_cross_references"
},
{
"id": 6,
"type": "column",
"value": "master_customer_id"
},
{
"id": 7,
"type": "column",
"value": "cmi_cross_ref_id"
},
{
"id": 0,
"type": "column",
"value": "council_tax_id"
},
{
"id": 4,
"type": "table",
"value": "rent_arrears"
},
{
"id": 2,
"type": "column",
"value": "cmi_details"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
11,
12
]
},
{
"entity_id": 2,
"token_idxs": [
14
]
},
{
"entity_id": 3,
"token_idxs": [
18,
19,
20,
21,
22
]
},
{
"entity_id": 4,
"token_idxs": [
3,
4
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
9,
10
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-TABLE",
"I-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"B-TABLE",
"I-TABLE",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O"
] |
1,554
|
customers_and_invoices
|
spider:train_spider.json:1612
|
Return the last name, id and phone number of the customer who has made the greatest number of orders.
|
SELECT T2.customer_last_name , T1.customer_id , T2.phone_number FROM Orders AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) DESC LIMIT 1
|
[
"Return",
"the",
"last",
"name",
",",
"i",
"d",
"and",
"phone",
"number",
"of",
"the",
"customer",
"who",
"has",
"made",
"the",
"greatest",
"number",
"of",
"orders",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "customer_last_name"
},
{
"id": 2,
"type": "column",
"value": "phone_number"
},
{
"id": 0,
"type": "column",
"value": "customer_id"
},
{
"id": 4,
"type": "table",
"value": "customers"
},
{
"id": 3,
"type": "table",
"value": "orders"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
1,
2,
3
]
},
{
"entity_id": 2,
"token_idxs": [
8,
9
]
},
{
"entity_id": 3,
"token_idxs": [
20
]
},
{
"entity_id": 4,
"token_idxs": [
12
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
1,555
|
movie_3
|
bird:train.json:9172
|
In 2006, how many restricted films were released?
|
SELECT COUNT(film_id) FROM film WHERE rating = 'R' AND release_year = 2006
|
[
"In",
"2006",
",",
"how",
"many",
"restricted",
"films",
"were",
"released",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "release_year"
},
{
"id": 1,
"type": "column",
"value": "film_id"
},
{
"id": 2,
"type": "column",
"value": "rating"
},
{
"id": 0,
"type": "table",
"value": "film"
},
{
"id": 5,
"type": "value",
"value": "2006"
},
{
"id": 3,
"type": "value",
"value": "R"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
8
]
},
{
"entity_id": 5,
"token_idxs": [
1
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O"
] |
1,556
|
bike_1
|
spider:train_spider.json:141
|
What are the ids of stations that are located in San Francisco and have average bike availability above 10.
|
SELECT id FROM station WHERE city = "San Francisco" INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING avg(bikes_available) > 10
|
[
"What",
"are",
"the",
"ids",
"of",
"stations",
"that",
"are",
"located",
"in",
"San",
"Francisco",
"and",
"have",
"average",
"bike",
"availability",
"above",
"10",
"."
] |
[
{
"id": 7,
"type": "column",
"value": "bikes_available"
},
{
"id": 5,
"type": "column",
"value": "San Francisco"
},
{
"id": 2,
"type": "column",
"value": "station_id"
},
{
"id": 0,
"type": "table",
"value": "station"
},
{
"id": 1,
"type": "table",
"value": "status"
},
{
"id": 4,
"type": "column",
"value": "city"
},
{
"id": 3,
"type": "column",
"value": "id"
},
{
"id": 6,
"type": "value",
"value": "10"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
3
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
10,
11
]
},
{
"entity_id": 6,
"token_idxs": [
18
]
},
{
"entity_id": 7,
"token_idxs": [
15,
16
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"O"
] |
1,557
|
book_press
|
bird:test.json:1987
|
find the number of authors who are older than 30 for each gender.
|
SELECT count(*) , gender FROM author WHERE age > 30 GROUP BY gender
|
[
"find",
"the",
"number",
"of",
"authors",
"who",
"are",
"older",
"than",
"30",
"for",
"each",
"gender",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "author"
},
{
"id": 1,
"type": "column",
"value": "gender"
},
{
"id": 2,
"type": "column",
"value": "age"
},
{
"id": 3,
"type": "value",
"value": "30"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
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12
]
},
{
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6
]
},
{
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9
]
},
{
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{
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{
"entity_id": 6,
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{
"entity_id": 7,
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{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
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},
{
"entity_id": 12,
"token_idxs": []
},
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"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O",
"O",
"B-COLUMN",
"O"
] |
1,558
|
customers_and_invoices
|
spider:train_spider.json:1594
|
What are the ids and names of accounts with 4 or more transactions?
|
SELECT T1.account_id , T2.account_name FROM Financial_transactions AS T1 JOIN Accounts AS T2 ON T1.account_id = T2.account_id GROUP BY T1.account_id HAVING count(*) >= 4
|
[
"What",
"are",
"the",
"ids",
"and",
"names",
"of",
"accounts",
"with",
"4",
"or",
"more",
"transactions",
"?"
] |
[
{
"id": 2,
"type": "table",
"value": "financial_transactions"
},
{
"id": 1,
"type": "column",
"value": "account_name"
},
{
"id": 0,
"type": "column",
"value": "account_id"
},
{
"id": 3,
"type": "table",
"value": "accounts"
},
{
"id": 4,
"type": "value",
"value": "4"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
12
]
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"entity_id": 4,
"token_idxs": [
9
]
},
{
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},
{
"entity_id": 6,
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},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
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},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
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"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"O",
"O",
"B-TABLE",
"O"
] |
1,559
|
synthea
|
bird:train.json:1370
|
For how long did Elly Koss's cystitis last?
|
SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Cystitis'
|
[
"For",
"how",
"long",
"did",
"Elly",
"Koss",
"'s",
"cystitis",
"last",
"?"
] |
[
{
"id": 7,
"type": "column",
"value": "description"
},
{
"id": 1,
"type": "table",
"value": "conditions"
},
{
"id": 0,
"type": "table",
"value": "patients"
},
{
"id": 8,
"type": "value",
"value": "Cystitis"
},
{
"id": 2,
"type": "column",
"value": "patient"
},
{
"id": 3,
"type": "column",
"value": "first"
},
{
"id": 11,
"type": "column",
"value": "start"
},
{
"id": 4,
"type": "value",
"value": "Elly"
},
{
"id": 5,
"type": "column",
"value": "last"
},
{
"id": 6,
"type": "value",
"value": "Koss"
},
{
"id": 10,
"type": "column",
"value": "stop"
},
{
"id": 9,
"type": "value",
"value": "%J"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
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},
{
"entity_id": 2,
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},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
4
]
},
{
"entity_id": 5,
"token_idxs": [
8
]
},
{
"entity_id": 6,
"token_idxs": [
5
]
},
{
"entity_id": 7,
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},
{
"entity_id": 8,
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7
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
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},
{
"entity_id": 11,
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},
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"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-VALUE",
"B-VALUE",
"O",
"B-VALUE",
"B-COLUMN",
"O"
] |
1,560
|
cars
|
bird:train.json:3090
|
Calculate the swept volume of the $34538.97449 car.
|
SELECT T1.displacement / T1.cylinders FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID WHERE T2.price = 34538.97449
|
[
"Calculate",
"the",
"swept",
"volume",
"of",
"the",
"$",
"34538.97449",
"car",
"."
] |
[
{
"id": 4,
"type": "column",
"value": "displacement"
},
{
"id": 3,
"type": "value",
"value": "34538.97449"
},
{
"id": 5,
"type": "column",
"value": "cylinders"
},
{
"id": 1,
"type": "table",
"value": "price"
},
{
"id": 2,
"type": "column",
"value": "price"
},
{
"id": 0,
"type": "table",
"value": "data"
},
{
"id": 6,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
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},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O"
] |
1,561
|
olympics
|
bird:train.json:5038
|
What are the id of the games held in London?
|
SELECT T1.games_id FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id WHERE T2.city_name = 'London'
|
[
"What",
"are",
"the",
"i",
"d",
"of",
"the",
"games",
"held",
"in",
"London",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "games_city"
},
{
"id": 3,
"type": "column",
"value": "city_name"
},
{
"id": 0,
"type": "column",
"value": "games_id"
},
{
"id": 5,
"type": "column",
"value": "city_id"
},
{
"id": 4,
"type": "value",
"value": "London"
},
{
"id": 2,
"type": "table",
"value": "city"
},
{
"id": 6,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
10
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
3,
4
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O"
] |
1,562
|
baseball_1
|
spider:train_spider.json:3700
|
Count the total number of games the team Boston Red Stockings attended from 1990 to 2000.
|
SELECT sum(T1.games) FROM home_game AS T1 JOIN team AS T2 ON T1.team_id = T2.team_id_br WHERE T2.name = 'Boston Red Stockings' AND T1.year BETWEEN 1990 AND 2000;
|
[
"Count",
"the",
"total",
"number",
"of",
"games",
"the",
"team",
"Boston",
"Red",
"Stockings",
"attended",
"from",
"1990",
"to",
"2000",
"."
] |
[
{
"id": 6,
"type": "value",
"value": "Boston Red Stockings"
},
{
"id": 4,
"type": "column",
"value": "team_id_br"
},
{
"id": 0,
"type": "table",
"value": "home_game"
},
{
"id": 3,
"type": "column",
"value": "team_id"
},
{
"id": 2,
"type": "column",
"value": "games"
},
{
"id": 1,
"type": "table",
"value": "team"
},
{
"id": 5,
"type": "column",
"value": "name"
},
{
"id": 7,
"type": "column",
"value": "year"
},
{
"id": 8,
"type": "value",
"value": "1990"
},
{
"id": 9,
"type": "value",
"value": "2000"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
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7
]
},
{
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},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
5
]
},
{
"entity_id": 6,
"token_idxs": [
8,
9,
10
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
13
]
},
{
"entity_id": 9,
"token_idxs": [
15
]
},
{
"entity_id": 10,
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},
{
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},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-TABLE",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O",
"B-VALUE",
"O",
"B-VALUE",
"O"
] |
1,563
|
customer_complaints
|
spider:train_spider.json:5810
|
What is first names of the top 5 staff who have handled the greatest number of complaints?
|
SELECT t1.first_name FROM staff AS t1 JOIN complaints AS t2 ON t1.staff_id = t2.staff_id GROUP BY t2.staff_id ORDER BY count(*) LIMIT 5
|
[
"What",
"is",
"first",
"names",
"of",
"the",
"top",
"5",
"staff",
"who",
"have",
"handled",
"the",
"greatest",
"number",
"of",
"complaints",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "first_name"
},
{
"id": 3,
"type": "table",
"value": "complaints"
},
{
"id": 0,
"type": "column",
"value": "staff_id"
},
{
"id": 2,
"type": "table",
"value": "staff"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
2,
3
]
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": [
16
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
1,564
|
codebase_community
|
bird:dev.json:679
|
Which post has the highest score? Please give its id and title's name.
|
SELECT T1.Id, T2.Title FROM users AS T1 INNER JOIN posts AS T2 ON T1.Id = T2.OwnerUserId ORDER BY T2.Score DESC LIMIT 1
|
[
"Which",
"post",
"has",
"the",
"highest",
"score",
"?",
"Please",
"give",
"its",
"i",
"d",
"and",
"title",
"'s",
"name",
"."
] |
[
{
"id": 5,
"type": "column",
"value": "owneruserid"
},
{
"id": 1,
"type": "column",
"value": "title"
},
{
"id": 2,
"type": "table",
"value": "users"
},
{
"id": 3,
"type": "table",
"value": "posts"
},
{
"id": 4,
"type": "column",
"value": "score"
},
{
"id": 0,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
10,
11
]
},
{
"entity_id": 1,
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13
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
1
]
},
{
"entity_id": 4,
"token_idxs": [
5
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O"
] |
1,565
|
movie_3
|
bird:train.json:9382
|
For how long can you rent the movie 'Dirty Ace'?
|
SELECT rental_duration FROM film WHERE title = 'DIRTY ACE'
|
[
"For",
"how",
"long",
"can",
"you",
"rent",
"the",
"movie",
"'",
"Dirty",
"Ace",
"'",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "rental_duration"
},
{
"id": 3,
"type": "value",
"value": "DIRTY ACE"
},
{
"id": 2,
"type": "column",
"value": "title"
},
{
"id": 0,
"type": "table",
"value": "film"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
9,
10
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"O",
"O"
] |
1,566
|
news_report
|
spider:train_spider.json:2809
|
Show the most common nationality for journalists.
|
SELECT Nationality FROM journalist GROUP BY Nationality ORDER BY COUNT(*) DESC LIMIT 1
|
[
"Show",
"the",
"most",
"common",
"nationality",
"for",
"journalists",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "nationality"
},
{
"id": 0,
"type": "table",
"value": "journalist"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O"
] |
1,567
|
dorm_1
|
spider:train_spider.json:5719
|
What are the amenities in alphabetical order that Anonymous Donor Hall has?
|
SELECT T1.amenity_name FROM dorm_amenity AS T1 JOIN has_amenity AS T2 ON T2.amenid = T1.amenid JOIN dorm AS T3 ON T2.dormid = T3.dormid WHERE T3.dorm_name = 'Anonymous Donor Hall' ORDER BY T1.amenity_name
|
[
"What",
"are",
"the",
"amenities",
"in",
"alphabetical",
"order",
"that",
"Anonymous",
"Donor",
"Hall",
"has",
"?"
] |
[
{
"id": 3,
"type": "value",
"value": "Anonymous Donor Hall"
},
{
"id": 0,
"type": "column",
"value": "amenity_name"
},
{
"id": 4,
"type": "table",
"value": "dorm_amenity"
},
{
"id": 5,
"type": "table",
"value": "has_amenity"
},
{
"id": 2,
"type": "column",
"value": "dorm_name"
},
{
"id": 6,
"type": "column",
"value": "dormid"
},
{
"id": 7,
"type": "column",
"value": "amenid"
},
{
"id": 1,
"type": "table",
"value": "dorm"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
9
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
8,
10
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
3
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-VALUE",
"B-TABLE",
"B-VALUE",
"O",
"O"
] |
1,568
|
cre_Docs_and_Epenses
|
spider:train_spider.json:6416
|
What are project ids of projects that have 2 or more corresponding documents?
|
SELECT project_id FROM Documents GROUP BY project_id HAVING count(*) >= 2
|
[
"What",
"are",
"project",
"ids",
"of",
"projects",
"that",
"have",
"2",
"or",
"more",
"corresponding",
"documents",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "project_id"
},
{
"id": 0,
"type": "table",
"value": "documents"
},
{
"id": 2,
"type": "value",
"value": "2"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
12
]
},
{
"entity_id": 1,
"token_idxs": [
2,
3
]
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
1,569
|
local_govt_and_lot
|
spider:train_spider.json:4857
|
List the customer event id and the corresponding move in date and property id.
|
SELECT customer_event_id , date_moved_in , property_id FROM customer_events
|
[
"List",
"the",
"customer",
"event",
"i",
"d",
"and",
"the",
"corresponding",
"move",
"in",
"date",
"and",
"property",
"i",
"d."
] |
[
{
"id": 1,
"type": "column",
"value": "customer_event_id"
},
{
"id": 0,
"type": "table",
"value": "customer_events"
},
{
"id": 2,
"type": "column",
"value": "date_moved_in"
},
{
"id": 3,
"type": "column",
"value": "property_id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2,
3
]
},
{
"entity_id": 1,
"token_idxs": [
4,
5
]
},
{
"entity_id": 2,
"token_idxs": [
9,
10
]
},
{
"entity_id": 3,
"token_idxs": [
13,
14,
15
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"I-TABLE",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN"
] |
1,570
|
hospital_1
|
spider:train_spider.json:3899
|
Find the department with the most employees.
|
SELECT name FROM department GROUP BY departmentID ORDER BY count(departmentID) DESC LIMIT 1;
|
[
"Find",
"the",
"department",
"with",
"the",
"most",
"employees",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "departmentid"
},
{
"id": 0,
"type": "table",
"value": "department"
},
{
"id": 2,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O"
] |
1,571
|
government_shift
|
bird:test.json:363
|
Find the details of the services that have been used by more than 3 times .
|
select t1.service_details from services as t1 join customers_and_services as t2 on t1.service_id = t2.service_id group by t1.service_details having count(*) > 3
|
[
"Find",
"the",
"details",
"of",
"the",
"services",
"that",
"have",
"been",
"used",
"by",
"more",
"than",
"3",
"times",
"."
] |
[
{
"id": 2,
"type": "table",
"value": "customers_and_services"
},
{
"id": 0,
"type": "column",
"value": "service_details"
},
{
"id": 4,
"type": "column",
"value": "service_id"
},
{
"id": 1,
"type": "table",
"value": "services"
},
{
"id": 3,
"type": "value",
"value": "3"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
5
]
},
{
"entity_id": 2,
"token_idxs": [
4
]
},
{
"entity_id": 3,
"token_idxs": [
13
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-TABLE",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O"
] |
1,572
|
university
|
bird:train.json:8115
|
Give the student staff ratio of university ID 35.
|
SELECT student_staff_ratio FROM university_year WHERE university_id = 35
|
[
"Give",
"the",
"student",
"staff",
"ratio",
"of",
"university",
"ID",
"35",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "student_staff_ratio"
},
{
"id": 0,
"type": "table",
"value": "university_year"
},
{
"id": 2,
"type": "column",
"value": "university_id"
},
{
"id": 3,
"type": "value",
"value": "35"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
2,
3,
4
]
},
{
"entity_id": 2,
"token_idxs": [
6,
7
]
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"B-VALUE",
"O"
] |
1,573
|
shipping
|
bird:train.json:5678
|
List the driver's name of the shipment shipped on February 22, 2016.
|
SELECT T2.first_name, T2.last_name FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE T1.ship_date = '2016-02-22'
|
[
"List",
"the",
"driver",
"'s",
"name",
"of",
"the",
"shipment",
"shipped",
"on",
"February",
"22",
",",
"2016",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "first_name"
},
{
"id": 5,
"type": "value",
"value": "2016-02-22"
},
{
"id": 1,
"type": "column",
"value": "last_name"
},
{
"id": 4,
"type": "column",
"value": "ship_date"
},
{
"id": 6,
"type": "column",
"value": "driver_id"
},
{
"id": 2,
"type": "table",
"value": "shipment"
},
{
"id": 3,
"type": "table",
"value": "driver"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": [
2
]
},
{
"entity_id": 4,
"token_idxs": [
8
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"B-COLUMN",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O"
] |
1,574
|
works_cycles
|
bird:train.json:7405
|
What type of employee is David Bradley?
|
SELECT PersonType FROM Person WHERE FirstName = 'David' AND LastName = 'Bradley'
|
[
"What",
"type",
"of",
"employee",
"is",
"David",
"Bradley",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "persontype"
},
{
"id": 2,
"type": "column",
"value": "firstname"
},
{
"id": 4,
"type": "column",
"value": "lastname"
},
{
"id": 5,
"type": "value",
"value": "Bradley"
},
{
"id": 0,
"type": "table",
"value": "person"
},
{
"id": 3,
"type": "value",
"value": "David"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
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},
{
"entity_id": 2,
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},
{
"entity_id": 3,
"token_idxs": [
5
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
6
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"B-VALUE",
"O"
] |
1,575
|
manufacturer
|
spider:train_spider.json:3390
|
Return the name and id of the furniture with the highest market rate.
|
SELECT name , furniture_id FROM furniture ORDER BY market_rate DESC LIMIT 1
|
[
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"the",
"name",
"and",
"i",
"d",
"of",
"the",
"furniture",
"with",
"the",
"highest",
"market",
"rate",
"."
] |
[
{
"id": 2,
"type": "column",
"value": "furniture_id"
},
{
"id": 3,
"type": "column",
"value": "market_rate"
},
{
"id": 0,
"type": "table",
"value": "furniture"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] |
[
{
"entity_id": 0,
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8
]
},
{
"entity_id": 1,
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2
]
},
{
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},
{
"entity_id": 3,
"token_idxs": [
12,
13
]
},
{
"entity_id": 4,
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},
{
"entity_id": 5,
"token_idxs": []
},
{
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"token_idxs": []
},
{
"entity_id": 7,
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},
{
"entity_id": 8,
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},
{
"entity_id": 9,
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},
{
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},
{
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},
{
"entity_id": 12,
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},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
1,576
|
college_1
|
spider:train_spider.json:3296
|
What is the average GPA of students taking ACCT-211?
|
SELECT avg(T2.stu_gpa) FROM enroll AS T1 JOIN student AS T2 ON T1.stu_num = T2.stu_num JOIN CLASS AS T3 ON T1.class_code = T3.class_code WHERE T3.crs_code = 'ACCT-211'
|
[
"What",
"is",
"the",
"average",
"GPA",
"of",
"students",
"taking",
"ACCT-211",
"?"
] |
[
{
"id": 6,
"type": "column",
"value": "class_code"
},
{
"id": 1,
"type": "column",
"value": "crs_code"
},
{
"id": 2,
"type": "value",
"value": "ACCT-211"
},
{
"id": 3,
"type": "column",
"value": "stu_gpa"
},
{
"id": 5,
"type": "table",
"value": "student"
},
{
"id": 7,
"type": "column",
"value": "stu_num"
},
{
"id": 4,
"type": "table",
"value": "enroll"
},
{
"id": 0,
"type": "table",
"value": "class"
}
] |
[
{
"entity_id": 0,
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},
{
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},
{
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8
]
},
{
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4
]
},
{
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{
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6
]
},
{
"entity_id": 6,
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},
{
"entity_id": 7,
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},
{
"entity_id": 8,
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},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
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},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"B-VALUE",
"O"
] |
1,577
|
books
|
bird:train.json:6056
|
How many books were published in 2017?
|
SELECT COUNT(*) FROM book WHERE STRFTIME('%Y', publication_date) = '2017'
|
[
"How",
"many",
"books",
"were",
"published",
"in",
"2017",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "publication_date"
},
{
"id": 0,
"type": "table",
"value": "book"
},
{
"id": 1,
"type": "value",
"value": "2017"
},
{
"id": 2,
"type": "value",
"value": "%Y"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
6
]
},
{
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},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
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},
{
"entity_id": 8,
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},
{
"entity_id": 9,
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},
{
"entity_id": 10,
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},
{
"entity_id": 11,
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},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
1,578
|
document_management
|
spider:train_spider.json:4539
|
Find the number of users in each role.
|
SELECT count(*) , role_code FROM users GROUP BY role_code
|
[
"Find",
"the",
"number",
"of",
"users",
"in",
"each",
"role",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "role_code"
},
{
"id": 0,
"type": "table",
"value": "users"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
7
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O"
] |
1,579
|
voter_2
|
spider:train_spider.json:5487
|
Count the number of male students who had class senator votes in the fall election cycle.
|
SELECT count(*) FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = Class_Senator_Vote WHERE T1.Sex = "M" AND T2.Election_Cycle = "Fall"
|
[
"Count",
"the",
"number",
"of",
"male",
"students",
"who",
"had",
"class",
"senator",
"votes",
"in",
"the",
"fall",
"election",
"cycle",
"."
] |
[
{
"id": 3,
"type": "column",
"value": "class_senator_vote"
},
{
"id": 6,
"type": "column",
"value": "election_cycle"
},
{
"id": 1,
"type": "table",
"value": "voting_record"
},
{
"id": 0,
"type": "table",
"value": "student"
},
{
"id": 2,
"type": "column",
"value": "stuid"
},
{
"id": 7,
"type": "column",
"value": "Fall"
},
{
"id": 4,
"type": "column",
"value": "sex"
},
{
"id": 5,
"type": "column",
"value": "M"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
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},
{
"entity_id": 2,
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5
]
},
{
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"token_idxs": [
8,
9,
10
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},
{
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{
"entity_id": 5,
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},
{
"entity_id": 6,
"token_idxs": [
14,
15
]
},
{
"entity_id": 7,
"token_idxs": [
13
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O",
"B-COLUMN",
"B-COLUMN",
"I-COLUMN",
"O"
] |
1,580
|
college_2
|
spider:train_spider.json:1433
|
What are the names and salaries of instructors who advise students in the Math department?
|
SELECT T2.name , T2.salary FROM advisor AS T1 JOIN instructor AS T2 ON T1.i_id = T2.id JOIN student AS T3 ON T1.s_id = T3.id WHERE T3.dept_name = 'Math'
|
[
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"of",
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"who",
"advise",
"students",
"in",
"the",
"Math",
"department",
"?"
] |
[
{
"id": 6,
"type": "table",
"value": "instructor"
},
{
"id": 3,
"type": "column",
"value": "dept_name"
},
{
"id": 2,
"type": "table",
"value": "student"
},
{
"id": 5,
"type": "table",
"value": "advisor"
},
{
"id": 1,
"type": "column",
"value": "salary"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 4,
"type": "value",
"value": "Math"
},
{
"id": 7,
"type": "column",
"value": "s_id"
},
{
"id": 9,
"type": "column",
"value": "i_id"
},
{
"id": 8,
"type": "column",
"value": "id"
}
] |
[
{
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3
]
},
{
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]
},
{
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14
]
},
{
"entity_id": 4,
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]
},
{
"entity_id": 5,
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9
]
},
{
"entity_id": 6,
"token_idxs": [
7
]
},
{
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},
{
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"token_idxs": []
},
{
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},
{
"entity_id": 10,
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},
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"entity_id": 11,
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},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"B-TABLE",
"B-TABLE",
"O",
"O",
"B-VALUE",
"B-COLUMN",
"O"
] |
1,581
|
tracking_grants_for_research
|
spider:train_spider.json:4388
|
How many tasks are there in total?
|
SELECT count(*) FROM Tasks
|
[
"How",
"many",
"tasks",
"are",
"there",
"in",
"total",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "tasks"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O"
] |
1,582
|
insurance_fnol
|
spider:train_spider.json:906
|
Find the claim that has the largest total settlement amount. Return the effective date of the claim.
|
SELECT t1.Effective_Date FROM claims AS t1 JOIN settlements AS t2 ON t1.claim_id = t2.claim_id GROUP BY t1.claim_id ORDER BY sum(t2.settlement_amount) DESC LIMIT 1
|
[
"Find",
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"claim",
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"total",
"settlement",
"amount",
".",
"Return",
"the",
"effective",
"date",
"of",
"the",
"claim",
"."
] |
[
{
"id": 4,
"type": "column",
"value": "settlement_amount"
},
{
"id": 1,
"type": "column",
"value": "effective_date"
},
{
"id": 3,
"type": "table",
"value": "settlements"
},
{
"id": 0,
"type": "column",
"value": "claim_id"
},
{
"id": 2,
"type": "table",
"value": "claims"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
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13,
14
]
},
{
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"token_idxs": [
2
]
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": [
9
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},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
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},
{
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},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O"
] |
1,583
|
food_inspection_2
|
bird:train.json:6126
|
How many inspections did All Style Buffet Restaurant have?
|
SELECT COUNT(T2.inspection_id) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.facility_type = 'Restaurant' AND T1.dba_name = 'All Style Buffet'
|
[
"How",
"many",
"inspections",
"did",
"All",
"Style",
"Buffet",
"Restaurant",
"have",
"?"
] |
[
{
"id": 7,
"type": "value",
"value": "All Style Buffet"
},
{
"id": 0,
"type": "table",
"value": "establishment"
},
{
"id": 2,
"type": "column",
"value": "inspection_id"
},
{
"id": 4,
"type": "column",
"value": "facility_type"
},
{
"id": 1,
"type": "table",
"value": "inspection"
},
{
"id": 3,
"type": "column",
"value": "license_no"
},
{
"id": 5,
"type": "value",
"value": "Restaurant"
},
{
"id": 6,
"type": "column",
"value": "dba_name"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": [
3
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
7
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
4,
5,
6
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
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{
"entity_id": 10,
"token_idxs": []
},
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"entity_id": 11,
"token_idxs": []
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{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"B-COLUMN",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"B-VALUE",
"O",
"O"
] |
1,585
|
formula_1
|
bird:dev.json:908
|
What is the most laps f1 races had? Name the race, year and circuit location where the races with most laps was hosted.
|
SELECT T3.lap, T2.name, T2.year, T1.location FROM circuits AS T1 INNER JOIN races AS T2 ON T1.circuitId = T2.circuitId INNER JOIN lapTimes AS T3 ON T3.raceId = T2.raceId ORDER BY T3.lap DESC LIMIT 1
|
[
"What",
"is",
"the",
"most",
"laps",
"f1",
"races",
"had",
"?",
"Name",
"the",
"race",
",",
"year",
"and",
"circuit",
"location",
"where",
"the",
"races",
"with",
"most",
"laps",
"was",
"hosted",
"."
] |
[
{
"id": 8,
"type": "column",
"value": "circuitid"
},
{
"id": 3,
"type": "column",
"value": "location"
},
{
"id": 4,
"type": "table",
"value": "laptimes"
},
{
"id": 5,
"type": "table",
"value": "circuits"
},
{
"id": 7,
"type": "column",
"value": "raceid"
},
{
"id": 6,
"type": "table",
"value": "races"
},
{
"id": 1,
"type": "column",
"value": "name"
},
{
"id": 2,
"type": "column",
"value": "year"
},
{
"id": 0,
"type": "column",
"value": "lap"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
9
]
},
{
"entity_id": 2,
"token_idxs": [
13
]
},
{
"entity_id": 3,
"token_idxs": [
16
]
},
{
"entity_id": 4,
"token_idxs": [
22
]
},
{
"entity_id": 5,
"token_idxs": [
15
]
},
{
"entity_id": 6,
"token_idxs": [
6
]
},
{
"entity_id": 7,
"token_idxs": [
11
]
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O"
] |
1,586
|
synthea
|
bird:train.json:1442
|
Calculate the number of female patients who accepted "HPV quadrivalent" immunization.
|
SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'HPV quadrivalent' AND T1.gender = 'F'
|
[
"Calculate",
"the",
"number",
"of",
"female",
"patients",
"who",
"accepted",
"\"",
"HPV",
"quadrivalent",
"\"",
"immunization",
"."
] |
[
{
"id": 4,
"type": "value",
"value": "HPV quadrivalent"
},
{
"id": 1,
"type": "table",
"value": "immunizations"
},
{
"id": 3,
"type": "column",
"value": "description"
},
{
"id": 0,
"type": "table",
"value": "patients"
},
{
"id": 2,
"type": "column",
"value": "patient"
},
{
"id": 5,
"type": "column",
"value": "gender"
},
{
"id": 6,
"type": "value",
"value": "F"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
12
]
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
9,
10
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": [
3
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-VALUE",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"O",
"B-TABLE",
"O"
] |
1,587
|
language_corpus
|
bird:train.json:5749
|
Which word has the most repetitions in the Catalan language?
|
SELECT T2.word FROM langs_words AS T1 INNER JOIN words AS T2 ON T1.wid = T2.wid WHERE T1.occurrences = ( SELECT MAX(occurrences) FROM langs_words )
|
[
"Which",
"word",
"has",
"the",
"most",
"repetitions",
"in",
"the",
"Catalan",
"language",
"?"
] |
[
{
"id": 1,
"type": "table",
"value": "langs_words"
},
{
"id": 3,
"type": "column",
"value": "occurrences"
},
{
"id": 2,
"type": "table",
"value": "words"
},
{
"id": 0,
"type": "column",
"value": "word"
},
{
"id": 4,
"type": "column",
"value": "wid"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
1
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
1,589
|
movielens
|
bird:train.json:2309
|
How many actors have acted in both US or UK films?
|
SELECT COUNT(T1.actorid) FROM movies2actors AS T1 INNER JOIN movies AS T2 ON T1.movieid = T2.movieid WHERE T2.country = 'USA' OR T2.country = 'UK'
|
[
"How",
"many",
"actors",
"have",
"acted",
"in",
"both",
"US",
"or",
"UK",
"films",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "movies2actors"
},
{
"id": 2,
"type": "column",
"value": "actorid"
},
{
"id": 3,
"type": "column",
"value": "movieid"
},
{
"id": 4,
"type": "column",
"value": "country"
},
{
"id": 1,
"type": "table",
"value": "movies"
},
{
"id": 5,
"type": "value",
"value": "USA"
},
{
"id": 6,
"type": "value",
"value": "UK"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
2
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
7
]
},
{
"entity_id": 6,
"token_idxs": [
9
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-VALUE",
"O",
"O"
] |
1,590
|
college_2
|
spider:train_spider.json:1416
|
Find the name and salary of the instructors who are advisors of any student from History department?
|
SELECT T2.name , T2.salary FROM advisor AS T1 JOIN instructor AS T2 ON T1.i_id = T2.id JOIN student AS T3 ON T1.s_id = T3.id WHERE T3.dept_name = 'History'
|
[
"Find",
"the",
"name",
"and",
"salary",
"of",
"the",
"instructors",
"who",
"are",
"advisors",
"of",
"any",
"student",
"from",
"History",
"department",
"?"
] |
[
{
"id": 6,
"type": "table",
"value": "instructor"
},
{
"id": 3,
"type": "column",
"value": "dept_name"
},
{
"id": 2,
"type": "table",
"value": "student"
},
{
"id": 4,
"type": "value",
"value": "History"
},
{
"id": 5,
"type": "table",
"value": "advisor"
},
{
"id": 1,
"type": "column",
"value": "salary"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 7,
"type": "column",
"value": "s_id"
},
{
"id": 9,
"type": "column",
"value": "i_id"
},
{
"id": 8,
"type": "column",
"value": "id"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
"token_idxs": [
13
]
},
{
"entity_id": 3,
"token_idxs": [
16
]
},
{
"entity_id": 4,
"token_idxs": [
15
]
},
{
"entity_id": 5,
"token_idxs": [
10
]
},
{
"entity_id": 6,
"token_idxs": [
7
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
0
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"B-COLUMN",
"O"
] |
1,591
|
restaurant
|
bird:train.json:1766
|
List the food type of the restaurant located in 22779 6th St., Hayward City.
|
SELECT T2.food_type FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.street_num = 22779 AND T1.street_name = '6th St' AND T2.city = 'hayward'
|
[
"List",
"the",
"food",
"type",
"of",
"the",
"restaurant",
"located",
"in",
"22779",
"6th",
"St.",
",",
"Hayward",
"City",
"."
] |
[
{
"id": 3,
"type": "column",
"value": "id_restaurant"
},
{
"id": 2,
"type": "table",
"value": "generalinfo"
},
{
"id": 6,
"type": "column",
"value": "street_name"
},
{
"id": 4,
"type": "column",
"value": "street_num"
},
{
"id": 0,
"type": "column",
"value": "food_type"
},
{
"id": 1,
"type": "table",
"value": "location"
},
{
"id": 9,
"type": "value",
"value": "hayward"
},
{
"id": 7,
"type": "value",
"value": "6th St"
},
{
"id": 5,
"type": "value",
"value": "22779"
},
{
"id": 8,
"type": "column",
"value": "city"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2,
3
]
},
{
"entity_id": 1,
"token_idxs": [
7,
8
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
6
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
9
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
10,
11
]
},
{
"entity_id": 8,
"token_idxs": [
14
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},
{
"entity_id": 9,
"token_idxs": [
13
]
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-COLUMN",
"B-TABLE",
"I-TABLE",
"B-VALUE",
"B-VALUE",
"I-VALUE",
"O",
"B-VALUE",
"B-COLUMN",
"O"
] |
1,592
|
warehouse_1
|
bird:test.json:1718
|
What are the locations of warehouses in which boxes that contain Rocks and Scissors are kept?
|
SELECT T2.location FROM boxes AS T1 JOIN warehouses AS T2 ON T1.warehouse = T2.code WHERE T1.contents = 'Rocks' INTERSECT SELECT T2.location FROM boxes AS T1 JOIN warehouses AS T2 ON T1.warehouse = T2.code WHERE T1.contents = 'Scissors'
|
[
"What",
"are",
"the",
"locations",
"of",
"warehouses",
"in",
"which",
"boxes",
"that",
"contain",
"Rocks",
"and",
"Scissors",
"are",
"kept",
"?"
] |
[
{
"id": 2,
"type": "table",
"value": "warehouses"
},
{
"id": 6,
"type": "column",
"value": "warehouse"
},
{
"id": 0,
"type": "column",
"value": "location"
},
{
"id": 3,
"type": "column",
"value": "contents"
},
{
"id": 5,
"type": "value",
"value": "Scissors"
},
{
"id": 1,
"type": "table",
"value": "boxes"
},
{
"id": 4,
"type": "value",
"value": "Rocks"
},
{
"id": 7,
"type": "column",
"value": "code"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
8
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": [
11
]
},
{
"entity_id": 5,
"token_idxs": [
13
]
},
{
"entity_id": 6,
"token_idxs": [
5
]
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"B-VALUE",
"O",
"B-VALUE",
"O",
"O",
"O"
] |
1,593
|
california_schools
|
bird:dev.json:76
|
What is the city location of the high school level school with Lunch Provision 2 whose lowest grade is 9 and the highest grade is 12 in the county of Merced?
|
SELECT T2.City FROM frpm AS T1 INNER JOIN schools AS T2 ON T1.CDSCode = T2.CDSCode WHERE T1.`NSLP Provision Status` = 'Lunch Provision 2' AND T2.County = 'Merced' AND T1.`Low Grade` = 9 AND T1.`High Grade` = 12 AND T2.EILCode = 'HS'
|
[
"What",
"is",
"the",
"city",
"location",
"of",
"the",
"high",
"school",
"level",
"school",
"with",
"Lunch",
"Provision",
"2",
"whose",
"lowest",
"grade",
"is",
"9",
"and",
"the",
"highest",
"grade",
"is",
"12",
"in",
"the",
"county",
"of",
"Merced",
"?"
] |
[
{
"id": 4,
"type": "column",
"value": "NSLP Provision Status"
},
{
"id": 5,
"type": "value",
"value": "Lunch Provision 2"
},
{
"id": 10,
"type": "column",
"value": "High Grade"
},
{
"id": 8,
"type": "column",
"value": "Low Grade"
},
{
"id": 2,
"type": "table",
"value": "schools"
},
{
"id": 3,
"type": "column",
"value": "cdscode"
},
{
"id": 12,
"type": "column",
"value": "eilcode"
},
{
"id": 6,
"type": "column",
"value": "county"
},
{
"id": 7,
"type": "value",
"value": "Merced"
},
{
"id": 0,
"type": "column",
"value": "city"
},
{
"id": 1,
"type": "table",
"value": "frpm"
},
{
"id": 11,
"type": "value",
"value": "12"
},
{
"id": 13,
"type": "value",
"value": "HS"
},
{
"id": 9,
"type": "value",
"value": "9"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
8
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
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},
{
"entity_id": 5,
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12,
13,
14
]
},
{
"entity_id": 6,
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28
]
},
{
"entity_id": 7,
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]
},
{
"entity_id": 8,
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16,
17
]
},
{
"entity_id": 9,
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19
]
},
{
"entity_id": 10,
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23
]
},
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"entity_id": 11,
"token_idxs": [
25
]
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-VALUE",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
1,594
|
machine_repair
|
spider:train_spider.json:2244
|
What is the starting year for the oldest technician?
|
SELECT Starting_Year FROM technician ORDER BY Age DESC LIMIT 1
|
[
"What",
"is",
"the",
"starting",
"year",
"for",
"the",
"oldest",
"technician",
"?"
] |
[
{
"id": 1,
"type": "column",
"value": "starting_year"
},
{
"id": 0,
"type": "table",
"value": "technician"
},
{
"id": 2,
"type": "column",
"value": "age"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
8
]
},
{
"entity_id": 1,
"token_idxs": [
3,
4
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
1,595
|
synthea
|
bird:train.json:1488
|
Name the reason Walter Bahringer visited medical professionals in July 2009.
|
SELECT T2.REASONDESCRIPTION FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Walter' AND T1.last = 'Bahringer' AND T2.DATE LIKE '2009-07%'
|
[
"Name",
"the",
"reason",
"Walter",
"Bahringer",
"visited",
"medical",
"professionals",
"in",
"July",
"2009",
"."
] |
[
{
"id": 0,
"type": "column",
"value": "reasondescription"
},
{
"id": 2,
"type": "table",
"value": "encounters"
},
{
"id": 7,
"type": "value",
"value": "Bahringer"
},
{
"id": 1,
"type": "table",
"value": "patients"
},
{
"id": 9,
"type": "value",
"value": "2009-07%"
},
{
"id": 3,
"type": "column",
"value": "patient"
},
{
"id": 5,
"type": "value",
"value": "Walter"
},
{
"id": 4,
"type": "column",
"value": "first"
},
{
"id": 6,
"type": "column",
"value": "last"
},
{
"id": 8,
"type": "column",
"value": "date"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": [
4
]
},
{
"entity_id": 8,
"token_idxs": [
3
]
},
{
"entity_id": 9,
"token_idxs": [
10
]
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
1,596
|
legislator
|
bird:train.json:4907
|
Give the alphanumeric ID of the Catholic legislators in Nebraska.
|
SELECT T1.bioguide FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.religion_bio = 'Catholic' AND T1.state = 'NE'
|
[
"Give",
"the",
"alphanumeric",
"ID",
"of",
"the",
"Catholic",
"legislators",
"in",
"Nebraska",
"."
] |
[
{
"id": 1,
"type": "table",
"value": "current-terms"
},
{
"id": 4,
"type": "column",
"value": "religion_bio"
},
{
"id": 3,
"type": "column",
"value": "bioguide_id"
},
{
"id": 0,
"type": "column",
"value": "bioguide"
},
{
"id": 5,
"type": "value",
"value": "Catholic"
},
{
"id": 2,
"type": "table",
"value": "current"
},
{
"id": 6,
"type": "column",
"value": "state"
},
{
"id": 7,
"type": "value",
"value": "NE"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
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},
{
"entity_id": 2,
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},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": [
6
]
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O"
] |
1,597
|
online_exams
|
bird:test.json:198
|
Find the exams whose subject code is not "Database". What are the exam dates and exam names?
|
SELECT Exam_Date , Exam_Name FROM Exams WHERE Subject_Code != 'Database'
|
[
"Find",
"the",
"exams",
"whose",
"subject",
"code",
"is",
"not",
"\"",
"Database",
"\"",
".",
"What",
"are",
"the",
"exam",
"dates",
"and",
"exam",
"names",
"?"
] |
[
{
"id": 3,
"type": "column",
"value": "subject_code"
},
{
"id": 1,
"type": "column",
"value": "exam_date"
},
{
"id": 2,
"type": "column",
"value": "exam_name"
},
{
"id": 4,
"type": "value",
"value": "Database"
},
{
"id": 0,
"type": "table",
"value": "exams"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": [
15,
16
]
},
{
"entity_id": 2,
"token_idxs": [
18,
19
]
},
{
"entity_id": 3,
"token_idxs": [
4,
5
]
},
{
"entity_id": 4,
"token_idxs": [
9
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
1,598
|
election_representative
|
spider:train_spider.json:1175
|
List the votes of elections in descending order.
|
SELECT Votes FROM election ORDER BY Votes DESC
|
[
"List",
"the",
"votes",
"of",
"elections",
"in",
"descending",
"order",
"."
] |
[
{
"id": 0,
"type": "table",
"value": "election"
},
{
"id": 1,
"type": "column",
"value": "votes"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"O"
] |
1,599
|
match_season
|
spider:train_spider.json:1064
|
Show the draft pick numbers and draft classes of players whose positions are defenders.
|
SELECT Draft_Pick_Number , Draft_Class FROM match_season WHERE POSITION = "Defender"
|
[
"Show",
"the",
"draft",
"pick",
"numbers",
"and",
"draft",
"classes",
"of",
"players",
"whose",
"positions",
"are",
"defenders",
"."
] |
[
{
"id": 1,
"type": "column",
"value": "draft_pick_number"
},
{
"id": 0,
"type": "table",
"value": "match_season"
},
{
"id": 2,
"type": "column",
"value": "draft_class"
},
{
"id": 3,
"type": "column",
"value": "position"
},
{
"id": 4,
"type": "column",
"value": "Defender"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
2,
3,
4
]
},
{
"entity_id": 2,
"token_idxs": [
6,
7
]
},
{
"entity_id": 3,
"token_idxs": [
11
]
},
{
"entity_id": 4,
"token_idxs": [
13
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O"
] |
1,600
|
ice_hockey_draft
|
bird:train.json:6962
|
List out the seasons that Niklas Eckerblom played.
|
SELECT DISTINCT T1.SEASON FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T2.PlayerName = 'Niklas Eckerblom'
|
[
"List",
"out",
"the",
"seasons",
"that",
"Niklas",
"Eckerblom",
"played",
"."
] |
[
{
"id": 4,
"type": "value",
"value": "Niklas Eckerblom"
},
{
"id": 1,
"type": "table",
"value": "seasonstatus"
},
{
"id": 2,
"type": "table",
"value": "playerinfo"
},
{
"id": 3,
"type": "column",
"value": "playername"
},
{
"id": 5,
"type": "column",
"value": "eliteid"
},
{
"id": 0,
"type": "column",
"value": "season"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
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},
{
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7
]
},
{
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5,
6
]
},
{
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},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
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"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"B-TABLE",
"B-VALUE",
"I-VALUE",
"B-COLUMN",
"O"
] |
1,601
|
retail_world
|
bird:train.json:6340
|
For the order paying the highest freight, how many kinds of products does it contain?
|
SELECT COUNT(T2.ProductID) FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID WHERE T1.Freight = ( SELECT MAX(Freight) FROM Orders ) GROUP BY T1.OrderID
|
[
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"paying",
"the",
"highest",
"freight",
",",
"how",
"many",
"kinds",
"of",
"products",
"does",
"it",
"contain",
"?"
] |
[
{
"id": 2,
"type": "table",
"value": "Order Details"
},
{
"id": 4,
"type": "column",
"value": "productid"
},
{
"id": 0,
"type": "column",
"value": "orderid"
},
{
"id": 3,
"type": "column",
"value": "freight"
},
{
"id": 1,
"type": "table",
"value": "orders"
}
] |
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{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
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2
]
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3
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6
]
},
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12
]
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{
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"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-TABLE",
"B-TABLE",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O"
] |
1,602
|
image_and_language
|
bird:train.json:7555
|
State the object class of the image with tallest bounding box.
|
SELECT T2.OBJ_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID ORDER BY T1.H DESC LIMIT 1
|
[
"State",
"the",
"object",
"class",
"of",
"the",
"image",
"with",
"tallest",
"bounding",
"box",
"."
] |
[
{
"id": 4,
"type": "column",
"value": "obj_class_id"
},
{
"id": 2,
"type": "table",
"value": "obj_classes"
},
{
"id": 0,
"type": "column",
"value": "obj_class"
},
{
"id": 1,
"type": "table",
"value": "img_obj"
},
{
"id": 3,
"type": "column",
"value": "h"
}
] |
[
{
"entity_id": 0,
"token_idxs": [
2,
3
]
},
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"entity_id": 1,
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{
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{
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},
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"entity_id": 10,
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"token_idxs": []
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{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
1,603
|
college_1
|
spider:train_spider.json:3328
|
What are the first names and offices of history professors who don't have Ph.D.s?
|
SELECT T2.emp_fname , T1.prof_office FROM professor AS T1 JOIN employee AS T2 ON T1.emp_num = T2.emp_num JOIN department AS T3 ON T1.dept_code = T3.dept_code WHERE T3.dept_name = 'History' AND T1.prof_high_degree != 'Ph.D.'
|
[
"What",
"are",
"the",
"first",
"names",
"and",
"offices",
"of",
"history",
"professors",
"who",
"do",
"n't",
"have",
"Ph",
".",
"D.s",
"?"
] |
[
{
"id": 8,
"type": "column",
"value": "prof_high_degree"
},
{
"id": 1,
"type": "column",
"value": "prof_office"
},
{
"id": 2,
"type": "table",
"value": "department"
},
{
"id": 0,
"type": "column",
"value": "emp_fname"
},
{
"id": 3,
"type": "table",
"value": "professor"
},
{
"id": 5,
"type": "column",
"value": "dept_code"
},
{
"id": 6,
"type": "column",
"value": "dept_name"
},
{
"id": 4,
"type": "table",
"value": "employee"
},
{
"id": 7,
"type": "value",
"value": "History"
},
{
"id": 10,
"type": "column",
"value": "emp_num"
},
{
"id": 9,
"type": "value",
"value": "Ph.D."
}
] |
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{
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"entity_id": 15,
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{
"entity_id": 16,
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},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O"
] |
1,605
|
art_1
|
bird:test.json:1274
|
What are the names of paintings whose width is less than 600 or height is larger than 800?
|
SELECT title FROM paintings WHERE width_mm < 600 OR height_mm > 800
|
[
"What",
"are",
"the",
"names",
"of",
"paintings",
"whose",
"width",
"is",
"less",
"than",
"600",
"or",
"height",
"is",
"larger",
"than",
"800",
"?"
] |
[
{
"id": 0,
"type": "table",
"value": "paintings"
},
{
"id": 4,
"type": "column",
"value": "height_mm"
},
{
"id": 2,
"type": "column",
"value": "width_mm"
},
{
"id": 1,
"type": "column",
"value": "title"
},
{
"id": 3,
"type": "value",
"value": "600"
},
{
"id": 5,
"type": "value",
"value": "800"
}
] |
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{
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},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
1,606
|
disney
|
bird:train.json:4638
|
Who is the voice actor of the character "Binkie Muddlefoot"?
|
SELECT `voice-actor` FROM `voice-actors` WHERE character = 'Binkie Muddlefoot'
|
[
"Who",
"is",
"the",
"voice",
"actor",
"of",
"the",
"character",
"\"",
"Binkie",
"Muddlefoot",
"\"",
"?"
] |
[
{
"id": 3,
"type": "value",
"value": "Binkie Muddlefoot"
},
{
"id": 0,
"type": "table",
"value": "voice-actors"
},
{
"id": 1,
"type": "column",
"value": "voice-actor"
},
{
"id": 2,
"type": "column",
"value": "character"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
3,
4
]
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": [
9,
10
]
},
{
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{
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{
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},
{
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},
{
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{
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{
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"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
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{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"O",
"O"
] |
1,607
|
superhero
|
bird:dev.json:740
|
How many female superheroes have a strength value of 100?
|
SELECT COUNT(T1.id) FROM superhero AS T1 INNER JOIN hero_attribute AS T2 ON T1.id = T2.hero_id INNER JOIN attribute AS T3 ON T2.attribute_id = T3.id INNER JOIN gender AS T4 ON T1.gender_id = T4.id WHERE T3.attribute_name = 'Strength' AND T2.attribute_value = 100 AND T4.gender = 'Female'
|
[
"How",
"many",
"female",
"superheroes",
"have",
"a",
"strength",
"value",
"of",
"100",
"?"
] |
[
{
"id": 6,
"type": "column",
"value": "attribute_value"
},
{
"id": 4,
"type": "column",
"value": "attribute_name"
},
{
"id": 11,
"type": "table",
"value": "hero_attribute"
},
{
"id": 12,
"type": "column",
"value": "attribute_id"
},
{
"id": 2,
"type": "table",
"value": "attribute"
},
{
"id": 3,
"type": "column",
"value": "gender_id"
},
{
"id": 10,
"type": "table",
"value": "superhero"
},
{
"id": 5,
"type": "value",
"value": "Strength"
},
{
"id": 13,
"type": "column",
"value": "hero_id"
},
{
"id": 0,
"type": "table",
"value": "gender"
},
{
"id": 8,
"type": "column",
"value": "gender"
},
{
"id": 9,
"type": "value",
"value": "Female"
},
{
"id": 7,
"type": "value",
"value": "100"
},
{
"id": 1,
"type": "column",
"value": "id"
}
] |
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{
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{
"entity_id": 14,
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"entity_id": 15,
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},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-VALUE",
"B-TABLE",
"O",
"B-COLUMN",
"B-VALUE",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
1,608
|
thrombosis_prediction
|
bird:dev.json:1211
|
Provide the ID and age of patient with lactate dehydrogenase (LDH) between 100-300 index above the normal range.
|
SELECT DISTINCT T1.ID, STRFTIME('%Y', CURRENT_TIMESTAMP) - STRFTIME('%Y', T1.Birthday) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.LDH > 600 AND T2.LDH < 800
|
[
"Provide",
"the",
"ID",
"and",
"age",
"of",
"patient",
"with",
"lactate",
"dehydrogenase",
"(",
"LDH",
")",
"between",
"100",
"-",
"300",
"index",
"above",
"the",
"normal",
"range",
"."
] |
[
{
"id": 2,
"type": "table",
"value": "laboratory"
},
{
"id": 7,
"type": "column",
"value": "birthday"
},
{
"id": 1,
"type": "table",
"value": "patient"
},
{
"id": 3,
"type": "column",
"value": "ldh"
},
{
"id": 4,
"type": "value",
"value": "600"
},
{
"id": 5,
"type": "value",
"value": "800"
},
{
"id": 0,
"type": "column",
"value": "id"
},
{
"id": 6,
"type": "value",
"value": "%Y"
}
] |
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{
"entity_id": 18,
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},
{
"entity_id": 19,
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}
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[
"O",
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"B-COLUMN",
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"O",
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"O",
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"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
1,609
|
hospital_1
|
spider:train_spider.json:3949
|
Which patient is undergoing the most recent treatment?
|
SELECT patient FROM undergoes ORDER BY dateundergoes LIMIT 1
|
[
"Which",
"patient",
"is",
"undergoing",
"the",
"most",
"recent",
"treatment",
"?"
] |
[
{
"id": 2,
"type": "column",
"value": "dateundergoes"
},
{
"id": 0,
"type": "table",
"value": "undergoes"
},
{
"id": 1,
"type": "column",
"value": "patient"
}
] |
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{
"entity_id": 1,
"token_idxs": [
1
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": []
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O"
] |
1,610
|
planet_1
|
bird:test.json:1907
|
Calculate total weight of package shipped on Mars.
|
SELECT sum(T1.Weight) FROM PACKAGE AS T1 JOIN Shipment AS T2 ON T1.Shipment = T2.ShipmentID JOIN Planet AS T3 ON T2.Planet = T3.PlanetID WHERE T3.Name = "Mars";
|
[
"Calculate",
"total",
"weight",
"of",
"package",
"shipped",
"on",
"Mars",
"."
] |
[
{
"id": 9,
"type": "column",
"value": "shipmentid"
},
{
"id": 5,
"type": "table",
"value": "shipment"
},
{
"id": 7,
"type": "column",
"value": "planetid"
},
{
"id": 8,
"type": "column",
"value": "shipment"
},
{
"id": 4,
"type": "table",
"value": "package"
},
{
"id": 0,
"type": "table",
"value": "planet"
},
{
"id": 3,
"type": "column",
"value": "weight"
},
{
"id": 6,
"type": "column",
"value": "planet"
},
{
"id": 1,
"type": "column",
"value": "name"
},
{
"id": 2,
"type": "column",
"value": "Mars"
}
] |
[
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": [
2
]
},
{
"entity_id": 4,
"token_idxs": [
4
]
},
{
"entity_id": 5,
"token_idxs": []
},
{
"entity_id": 6,
"token_idxs": []
},
{
"entity_id": 7,
"token_idxs": []
},
{
"entity_id": 8,
"token_idxs": [
5,
6
]
},
{
"entity_id": 9,
"token_idxs": []
},
{
"entity_id": 10,
"token_idxs": []
},
{
"entity_id": 11,
"token_idxs": []
},
{
"entity_id": 12,
"token_idxs": []
},
{
"entity_id": 13,
"token_idxs": []
},
{
"entity_id": 14,
"token_idxs": []
},
{
"entity_id": 15,
"token_idxs": []
},
{
"entity_id": 16,
"token_idxs": []
},
{
"entity_id": 17,
"token_idxs": []
},
{
"entity_id": 18,
"token_idxs": []
},
{
"entity_id": 19,
"token_idxs": []
}
] |
[
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"B-COLUMN",
"I-COLUMN",
"B-COLUMN",
"O"
] |
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